Multiscale Image Segmentation using Wavelet-Domain Hidden Markov Models

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Multiscale Image Segmentation using Wavelet-Domain Hidden Markov Models (1999)

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by Hyeokho Choi , Richard G. Baranuik

Venue:	IEEE Trans. Image Processing
Citations:	108 - 6 self

BibTeX

@ARTICLE{Choi99multiscaleimage,
    author = {Hyeokho Choi and Richard G. Baranuik},
    title = {Multiscale Image Segmentation using Wavelet-Domain Hidden Markov Models},
    journal = {IEEE Trans. Image Processing},
    year = {1999},
    volume = {10},
    pages = {1309--1321}
}

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Abstract

We introduce a new image texture segmentation algorithm, HMTseg, based on wavelets and the hidden Markov tree (HMT) model. The HMT is a tree-structured probabilistic graph that captures the statistical properties of the coefficients of the wavelet transform. Since the HMT is particularly well suited to images containing singularities (edges and ridges), it provides a good classifier for distinguishing between textures. Utilizing the inherent tree structure of the wavelet HMT and its fast training and likelihood computation algorithms, we perform multiscale texture classification at a range of different scales. We then fuse these multiscale classifications using a Bayesian probabilistic graph to obtain reliable final segmentations. Since HMTseg works on the wavelet transform of the image, it can directly segment wavelet-compressed images without the need for decompression into the space domain. We demonstrate the performance of HMTseg with synthetic, aerial photo, and document image seg...

Keyphrases

wavelet-domain hidden markov model multiscale image segmentation wavelet transform multiscale classification hidden markov tree wavelet hmt different scale good classifier segment wavelet-compressed image fast training inherent tree structure document image seg aerial photo bayesian probabilistic graph likelihood computation algorithm tree-structured probabilistic graph reliable final segmentation statistical property new image texture segmentation algorithm space domain multiscale texture classification

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